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<table width="100%" summary="page for myeloid"><tr><td>myeloid</td><td style="text-align: right;">R Documentation</td></tr></table>

<h2>Acute myeloid leukemia</h2>

<h3>Description</h3>

<p>This simulated data set is based on a trial in acute myeloid
leukemia.
</p>


<h3>Format</h3>

<p>A data frame with 646 observations on the following 9 variables.
</p>

<dl>
<dt><code>id</code></dt><dd><p>subject identifier, 1-646</p>
</dd>
<dt><code>trt</code></dt><dd><p>treatment arm A or B</p>
</dd>
<dt><code>sex</code></dt><dd><p>f=female, m=male</p>
</dd>
<dt><code>futime</code></dt><dd><p>time to death or last follow-up</p>
</dd>
<dt><code>death</code></dt><dd><p>1 if <code>futime</code> is a death, 0 for censoring</p>
</dd>
<dt><code>txtime</code></dt><dd><p>time to hematropetic stem cell transplant</p>
</dd>
<dt><code>crtime</code></dt><dd><p>time to complete response</p>
</dd>
<dt><code>rltime</code></dt><dd><p>time to relapse of disease</p>
</dd>
</dl>



<h3>Details</h3>

<p>This data set is used to illustrate multi-state survival curves.
The correlation between within-subject event times strongly resembles
that from an actual trial, but none of the actual data values are
from that source.
</p>


<h3>References</h3>

<p>Le-Rademacher JG, Peterson RA, Therneau TM, Sanford BL, Stone RM,
Mandrekar SJ.  Application of multi-state models in cancer clinical trials. 
Clin Trials. 2018 Oct; 15 (5):489-498
</p>


<h3>Examples</h3>

<pre>
coxph(Surv(futime, death) ~ trt, data=myeloid)
# See the mstate vignette for a more complete analysis
</pre>


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